{"id":"W3152629223","doi":"10.1139/cjce-2020-0801","title":"Using single and multiple unmanned aerial vehicles for microscopic driver behaviour data collection at freeway interchange ramps","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Taibah University","keywords":"Differential GPS; Computer science; Data collection; Curvature; Software; Oblique case; Elevation (ballistics); Shadow (psychology); Traffic speed; Global Positioning System; Simulation; Differential (mechanical device); Real-time computing; Transport engineering; Marine engineering; Engineering; Telecommunications; Aerospace engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002554291,0.0004245524,0.0002962507,0.0009530886,0.0002790545,0.0003910299,0.0004775592,0.0002406543,0.0006336987],"category_scores_gemma":[0.0006144251,0.0001946984,0.000271697,0.0004844457,0.0001697239,0.0005487229,0.0006633021,0.0002741725,0.0002643863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002014017,"about_ca_system_score_gemma":0.0004052891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005080495,"about_ca_topic_score_gemma":0.01125034,"domain_scores_codex":[0.9996008,0.00005888006,0.00001971227,0.0001236781,0.0001457625,0.00005125638],"domain_scores_gemma":[0.9996755,0.00004925196,0.00005826907,0.00006558726,0.0001192688,0.00003209872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002826931,0.0002555922,0.1355504,0.0009120433,0.0002411372,0.0007696015,0.001801839,0.04355896,0.2749237,0.002024884,0.002446069,0.5372332],"study_design_scores_gemma":[0.00007164958,0.001152728,0.3733044,0.0002396803,0.0002088919,0.001329666,0.004139172,0.415291,0.1816853,0.002693889,0.01967204,0.0002115148],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6134238,0.0003574211,0.3794118,0.00008498289,0.00008706676,0.0003731955,0.001613833,0.001234305,0.003413449],"genre_scores_gemma":[0.8159996,0.0001946026,0.1817107,0.00003497588,0.0000193861,0.0002346659,0.0008682463,0.00004207485,0.0008958282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005080495,"threshold_uncertainty_score":0.01010185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03597989354488631,"score_gpt":0.2213465346014755,"score_spread":0.1853666410565892,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}